Py Me Up, Charlie

Background

This is my introduction to the world of programming with Python. In this project I use the concepts I've learned to complete two Python Challenges, PyBank and PyPoll. Both of these challenges encompasses a real-world situation where Python scripting skills can come in handy.

PyBank

• In this challenge, I must create a Python script for analyzing the financial records of a company. I am given a set of financial data called budget_data.csv. The dataset is composed of two columns: Date and Profit/Losses. (Thankfully, the company has rather lax standards for accounting so the records are simple.)

• My job is to create a Python script that analyzes the records to calculate each of the following:

  • The total number of months included in the dataset

  • The net total amount of "Profit/Losses" over the entire period

  • The average of the changes in "Profit/Losses" over the entire period

  • The greatest increase in profits (date and amount) over the entire period

  • The greatest decrease in losses (date and amount) over the entire period

• My analysis looks similar to the one below:

  Financial Analysis
  ----------------------------
  Total Months: 86
  Total: $38382578
  Average  Change: $-2315.12
  Greatest Increase in Profits: Feb-2012 ($1926159)
  Greatest Decrease in Profits: Sep-2013 ($-2196167)
  

• In addition, my final script should both print the analysis to the terminal and export a text file with the results.

PyPoll

• In this challenge, I must help a small, rural town modernize its vote-counting process. (Up until now, Uncle Cleetus had been trustfully tallying them one-by-one, but unfortunately, his concentration isn't what it used to be.)

• I am given a set of poll data called election_data.csv. The dataset is composed of three columns: Voter ID, County, and Candidate. My task is to create a Python script that analyzes the votes and calculates each of the following:

  • The total number of votes cast

  • A complete list of candidates who received votes

  • The percentage of votes each candidate won

  • The total number of votes each candidate won

  • The winner of the election based on popular vote.

• My analysis looks similar to the one below:

  Election Results
  -------------------------
  Total Votes: 3521001
  -------------------------
  Khan: 63.000% (2218231)
  Correy: 20.000% (704200)
  Li: 14.000% (492940)
  O'Tooley: 3.000% (105630)
  -------------------------
  Winner: Khan
  -------------------------
  

• In addition, your final script should both print the analysis to the terminal and export a text file with the results.

BONUS

Inside the bonus folder are extra challenges to continue practicing my new skills.